{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://mp.weixin.qq.com/s/QgpduujjSnHgzpJevzfWCw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using device: cpu\n",
      "Loading bar data...\n",
      "Loaded bar data: 0:00:00 \n",
      "\n",
      "Epoch [10/50], Loss: 0.0025\n",
      "Epoch [20/50], Loss: 0.0023\n",
      "Epoch [30/50], Loss: 0.0008\n",
      "Epoch [40/50], Loss: 0.0026\n",
      "Epoch [50/50], Loss: 0.0011\n",
      "LSTM Train MAE: 0.36, MAPE: 2.62%\n",
      "LSTM Test MAE: 0.58, MAPE: 2.84%\n",
      "Epoch [10/30], Loss: 0.2890\n",
      "Epoch [20/30], Loss: 0.2872\n",
      "Epoch [30/30], Loss: 0.2749\n",
      "\n",
      "Original LSTM on Fine-tuning Dataset:\n",
      "Train MAE: 0.26, MAPE: 2.26%\n",
      "Test MAE: 0.46, MAPE: 5.06%\n",
      "Fine-tuning Epoch [5/10], Avg Loss: 0.0007\n",
      "Fine-tuning Epoch [10/10], Avg Loss: 0.0007\n",
      "\n",
      "Fine-tuned LSTM on Fine-tuning Dataset:\n",
      "Train MAE: 0.58, MAPE: 4.78%\n",
      "Test MAE: 0.83, MAPE: 9.25%\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Improvement after Fine-tuning:\n",
      "Train MAE Improvement: -122.70%\n",
      "Train MAPE Improvement: -111.01%\n",
      "Test MAE Improvement: -80.82%\n",
      "Test MAPE Improvement: -83.02%\n"
     ]
    }
   ],
   "source": [
    "from pybroker.ext.data import AKShare\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import TensorDataset, DataLoader\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Check if GPU is available\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"Using device: {device}\")\n",
    "\n",
    "# Fetch Reliance stock data\n",
    "ak = AKShare()\n",
    "symbols = [\"000001\"]\n",
    "\n",
    "# Descargar los datos de precios\n",
    "prices = [ak.query(symbols=symbol, start_date=\"2019-01-01\", end_date=\"2024-01-01\", adjust=\"qfq\")['close'] for symbol in symbols]\n",
    "data = pd.DataFrame(prices).T\n",
    "data.columns=symbols\n",
    "\n",
    "# Normalize the data\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "data_normalized = scaler.fit_transform(data)\n",
    "\n",
    "def create_sequences(data, seq_length):\n",
    "    sequences = []\n",
    "    targets = []\n",
    "    for i in range(len(data) - seq_length):\n",
    "        seq = data[i:i+seq_length]\n",
    "        target = data[i+seq_length]\n",
    "        sequences.append(seq)\n",
    "        targets.append(target)\n",
    "    return np.array(sequences), np.array(targets)\n",
    "\n",
    "# Parameters\n",
    "seq_length = 60  # 60 days of historical data\n",
    "\n",
    "# Prepare data with sliding window\n",
    "X, y = create_sequences(data_normalized, seq_length)\n",
    "\n",
    "# Split data for LSTM, Scoring, and Fine-tuning\n",
    "lstm_split = int(0.5 * len(X))\n",
    "scoring_split = int(0.75 * len(X))\n",
    "\n",
    "X_lstm, y_lstm = X[:lstm_split], y[:lstm_split]\n",
    "X_scoring, y_scoring = X[lstm_split:scoring_split], y[lstm_split:scoring_split]\n",
    "X_finetuning, y_finetuning = X[scoring_split:], y[scoring_split:]\n",
    "\n",
    "# Further split LSTM data into train and test\n",
    "lstm_train_split = int(0.8 * len(X_lstm))\n",
    "X_lstm_train, y_lstm_train = X_lstm[:lstm_train_split], y_lstm[:lstm_train_split]\n",
    "X_lstm_test, y_lstm_test = X_lstm[lstm_train_split:], y_lstm[lstm_train_split:]\n",
    "\n",
    "# LSTM Model\n",
    "class LSTMModel(nn.Module):\n",
    "    def __init__(self, input_size=1, hidden_size=50, num_layers=2, output_size=1):\n",
    "        super(LSTMModel, self).__init__()\n",
    "        self.hidden_size = hidden_size\n",
    "        self.num_layers = num_layers\n",
    "        self.lstm = nn.LSTM(input_size, hidden_size, num_layers, batch_first=True)\n",
    "        self.fc = nn.Linear(hidden_size, output_size)\n",
    "\n",
    "    def forward(self, x):\n",
    "        h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(device)\n",
    "        c0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(device)\n",
    "        out, _ = self.lstm(x, (h0, c0))\n",
    "        out = self.fc(out[:, -1, :])\n",
    "        return out\n",
    "\n",
    "lstm_model = LSTMModel().to(device)\n",
    "criterion = nn.MSELoss()\n",
    "optimizer = optim.Adam(lstm_model.parameters(), lr=0.001)\n",
    "\n",
    "# Train LSTM model\n",
    "def train_model(model, train_data, train_targets, epochs=50, batch_size=32):\n",
    "    train_data = torch.FloatTensor(train_data).to(device)\n",
    "    train_targets = torch.FloatTensor(train_targets).to(device)\n",
    "    train_dataset = TensorDataset(train_data, train_targets)\n",
    "    train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\n",
    "\n",
    "    model.train()\n",
    "    for epoch in range(epochs):\n",
    "        for batch_X, batch_y in train_loader:\n",
    "            optimizer.zero_grad()\n",
    "            outputs = model(batch_X)\n",
    "            loss = criterion(outputs, batch_y)\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "        if (epoch + 1) % 10 == 0:\n",
    "            print(f'Epoch [{epoch+1}/{epochs}], Loss: {loss.item():.4f}')\n",
    "\n",
    "train_model(lstm_model, X_lstm_train, y_lstm_train)\n",
    "\n",
    "# LSTM Predictions and Evaluation\n",
    "def predict_and_evaluate(model, X, y):\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        X = torch.FloatTensor(X).to(device)\n",
    "        predictions = model(X).cpu().numpy()\n",
    "\n",
    "    y = scaler.inverse_transform(y.reshape(-1, 1))\n",
    "    predictions = scaler.inverse_transform(predictions.reshape(-1, 1))\n",
    "\n",
    "    mae = np.mean(np.abs(y - predictions))\n",
    "    mape = np.mean(np.abs((y - predictions) / y)) * 100\n",
    "\n",
    "    return predictions, mae, mape\n",
    "\n",
    "lstm_train_preds, lstm_train_mae, lstm_train_mape = predict_and_evaluate(lstm_model, X_lstm_train, y_lstm_train)\n",
    "lstm_test_preds, lstm_test_mae, lstm_test_mape = predict_and_evaluate(lstm_model, X_lstm_test, y_lstm_test)\n",
    "\n",
    "print(f\"LSTM Train MAE: {lstm_train_mae:.2f}, MAPE: {lstm_train_mape:.2f}%\")\n",
    "print(f\"LSTM Test MAE: {lstm_test_mae:.2f}, MAPE: {lstm_test_mape:.2f}%\")\n",
    "\n",
    "# Scoring Model\n",
    "class ScoringModel(nn.Module):\n",
    "    def __init__(self, input_size=seq_length+1, hidden_size=32, output_size=1):\n",
    "        super(ScoringModel, self).__init__()\n",
    "        self.fc1 = nn.Linear(input_size, hidden_size)\n",
    "        self.fc2 = nn.Linear(hidden_size, output_size)\n",
    "        self.relu = nn.ReLU()\n",
    "        self.sigmoid = nn.Sigmoid()\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.relu(self.fc1(x))\n",
    "        out = self.sigmoid(self.fc2(out))\n",
    "        return out\n",
    "\n",
    "scoring_model = ScoringModel().to(device)\n",
    "scoring_criterion = nn.MSELoss()\n",
    "scoring_optimizer = optim.Adam(scoring_model.parameters(), lr=0.001)\n",
    "\n",
    "# Prepare scoring data\n",
    "def prepare_scoring_data(X, y):\n",
    "    lstm_model.eval()\n",
    "    with torch.no_grad():\n",
    "        X_tensor = torch.FloatTensor(X).to(device)\n",
    "        predictions = lstm_model(X_tensor).cpu().numpy()\n",
    "\n",
    "    scoring_X = np.concatenate([X.reshape(X.shape[0], -1), predictions], axis=1)\n",
    "    scoring_y = np.abs(y - predictions.reshape(-1, 1))  # Use absolute error as the score\n",
    "    return scoring_X, scoring_y\n",
    "\n",
    "X_scoring_train, y_scoring_train = prepare_scoring_data(X_scoring[:int(0.8*len(X_scoring))], y_scoring[:int(0.8*len(X_scoring))])\n",
    "X_scoring_test, y_scoring_test = prepare_scoring_data(X_scoring[int(0.8*len(X_scoring)):], y_scoring[int(0.8*len(X_scoring)):])\n",
    "\n",
    "# Train scoring model\n",
    "train_model(scoring_model, X_scoring_train, y_scoring_train, epochs=30)\n",
    "\n",
    "# Fine-tuning function\n",
    "def fine_tune_lstm(lstm_model, scoring_model, X, y, epochs=10, lr=0.0001):\n",
    "    fine_tune_optimizer = optim.Adam(lstm_model.parameters(), lr=lr)\n",
    "    X_tensor = torch.FloatTensor(X).to(device)\n",
    "    y_tensor = torch.FloatTensor(y).to(device)\n",
    "\n",
    "    for epoch in range(epochs):\n",
    "        lstm_model.train()\n",
    "        total_loss = 0\n",
    "        for i in range(len(X)):\n",
    "            fine_tune_optimizer.zero_grad()\n",
    "            lstm_output = lstm_model(X_tensor[i].unsqueeze(0))\n",
    "            loss = criterion(lstm_output, y_tensor[i].unsqueeze(0))\n",
    "\n",
    "            # Get score from scoring model\n",
    "            scoring_input = torch.cat([X_tensor[i].reshape(1, -1), lstm_output.detach()], dim=1)\n",
    "            score = scoring_model(scoring_input)\n",
    "\n",
    "            # Adjust loss based on score\n",
    "            adjusted_loss = loss * (1 + score.item())\n",
    "            adjusted_loss.backward()\n",
    "            fine_tune_optimizer.step()\n",
    "            total_loss += adjusted_loss.item()\n",
    "\n",
    "        if (epoch + 1) % 5 == 0:\n",
    "            print(f'Fine-tuning Epoch [{epoch+1}/{epochs}], Avg Loss: {total_loss/len(X):.4f}')\n",
    "\n",
    "# Split fine-tuning data\n",
    "X_finetune_train, y_finetune_train = X_finetuning[:int(0.8*len(X_finetuning))], y_finetuning[:int(0.8*len(X_finetuning))]\n",
    "X_finetune_test, y_finetune_test = X_finetuning[int(0.8*len(X_finetuning)):], y_finetuning[int(0.8*len(X_finetuning)):]\n",
    "\n",
    "# Predictions with original LSTM on fine-tuning dataset\n",
    "original_finetune_train_preds, original_finetune_train_mae, original_finetune_train_mape = predict_and_evaluate(lstm_model, X_finetune_train, y_finetune_train)\n",
    "original_finetune_test_preds, original_finetune_test_mae, original_finetune_test_mape = predict_and_evaluate(lstm_model, X_finetune_test, y_finetune_test)\n",
    "\n",
    "print(\"\\nOriginal LSTM on Fine-tuning Dataset:\")\n",
    "print(f\"Train MAE: {original_finetune_train_mae:.2f}, MAPE: {original_finetune_train_mape:.2f}%\")\n",
    "print(f\"Test MAE: {original_finetune_test_mae:.2f}, MAPE: {original_finetune_test_mape:.2f}%\")\n",
    "\n",
    "# Fine-tune LSTM\n",
    "fine_tune_lstm(lstm_model, scoring_model, X_finetune_train, y_finetune_train)\n",
    "\n",
    "# Evaluate fine-tuned model\n",
    "finetuned_train_preds, finetuned_train_mae, finetuned_train_mape = predict_and_evaluate(lstm_model, X_finetune_train, y_finetune_train)\n",
    "finetuned_test_preds, finetuned_test_mae, finetuned_test_mape = predict_and_evaluate(lstm_model, X_finetune_test, y_finetune_test)\n",
    "\n",
    "print(\"\\nFine-tuned LSTM on Fine-tuning Dataset:\")\n",
    "print(f\"Train MAE: {finetuned_train_mae:.2f}, MAPE: {finetuned_train_mape:.2f}%\")\n",
    "print(f\"Test MAE: {finetuned_test_mae:.2f}, MAPE: {finetuned_test_mape:.2f}%\")\n",
    "\n",
    "# Plot results\n",
    "plt.figure(figsize=(20, 15))\n",
    "\n",
    "# Training set comparison\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.plot(scaler.inverse_transform(y_finetune_train), label='Actual', color='black')\n",
    "plt.plot(original_finetune_train_preds, label='Original LSTM', color='blue', alpha=0.7)\n",
    "plt.plot(finetuned_train_preds, label='Fine-tuned LSTM', color='red', alpha=0.7)\n",
    "plt.title('Predictions on Fine-tuning Training Set')\n",
    "plt.legend()\n",
    "\n",
    "# Test set comparison\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.plot(scaler.inverse_transform(y_finetune_test), label='Actual', color='black')\n",
    "plt.plot(original_finetune_test_preds, label='Original LSTM', color='blue', alpha=0.7)\n",
    "plt.plot(finetuned_test_preds, label='Fine-tuned LSTM', color='red', alpha=0.7)\n",
    "plt.title('Predictions on Fine-tuning Test Set')\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Calculate improvement percentages\n",
    "train_mae_improvement = (original_finetune_train_mae - finetuned_train_mae) / original_finetune_train_mae * 100\n",
    "train_mape_improvement = (original_finetune_train_mape - finetuned_train_mape) / original_finetune_train_mape * 100\n",
    "test_mae_improvement = (original_finetune_test_mae - finetuned_test_mae) / original_finetune_test_mae * 100\n",
    "test_mape_improvement = (original_finetune_test_mape - finetuned_test_mape) / original_finetune_test_mape * 100\n",
    "\n",
    "print(\"\\nImprovement after Fine-tuning:\")\n",
    "print(f\"Train MAE Improvement: {train_mae_improvement:.2f}%\")\n",
    "print(f\"Train MAPE Improvement: {train_mape_improvement:.2f}%\")\n",
    "print(f\"Test MAE Improvement: {test_mae_improvement:.2f}%\")\n",
    "print(f\"Test MAPE Improvement: {test_mape_improvement:.2f}%\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "4broker",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
